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Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2010 USGS ARRA Michigan TriCounty Lidar, https://www.fisheries.noaa.gov/inport/item/60152.
Full Citation Examples

Abstract

TASK NAME: Michigan Tri-County LiDAR (ARRA Lidar Task Order)

LiDAR Data Acquisition and Processing Production Task

USGS CONTRACT: G10PC00057

TASK ORDER NUMBER: G10PD00844

CONTRACTOR: Woolpert, Inc.

LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurment technologies.The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. This data was collected at a resolution of one and one half point point per square meter. The final products include first, last, and at least one intermediate return LAS, a bare earth model, and intensity data in separate files.

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Data access to the original EPT format dataset. LAZ files underlay the EPT organization.

Access Constraints:

None

Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Controlled Theme Keywords

COASTAL BATHYMETRY, COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-85.10322794768° W, -84.11897982348° E, 43.13268688125° N, 42.40315017724° S

Time Frame 1
2010-04-02
Time Frame 2
2010-04-03
Time Frame 3
2010-04-04
Time Frame 4
2010-04-05
Time Frame 5
2010-04-10
Time Frame 6
2010-04-12
Time Frame 7
2010-04-13
Time Frame 8
2010-04-14

Item Identification

Title: 2010 USGS ARRA Michigan TriCounty Lidar
Short Name: ARRA-MI_TriCounty_2010_m9132
Status: Completed
Publication Date: 2010-09-17
Abstract:

TASK NAME: Michigan Tri-County LiDAR (ARRA Lidar Task Order)

LiDAR Data Acquisition and Processing Production Task

USGS CONTRACT: G10PC00057

TASK ORDER NUMBER: G10PD00844

CONTRACTOR: Woolpert, Inc.

LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurment technologies.The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. This data was collected at a resolution of one and one half point point per square meter. The final products include first, last, and at least one intermediate return LAS, a bare earth model, and intensity data in separate files.

Purpose:

This task order consisted of LiDAR data acquisition and processing for Clinton, Eaton and Ingham Counties in southeastern Michigan. The task order area of interest encompasses approximately 1,810 square miles. The task required the LiDAR data to be collected at a minimum of one and one half (1.5) point per square meter (1.5 meter GSD). The LiDAR data was collected to meet a vertical accuracy requirement of 15.0 cm (0.49 ft) RMSE, or better, so that when combined with breaklines, the data adequately supports the generation of two (2) foot FEMA compliant contours. The final LiDAR data was delivered as 5,000' x 5,000' tiles, aligned to even 5,000' coordinates.

Supplemental Information:

USGS CONTRACT: G10PC00057

TASK ORDER NUMBER: G10PD00844

CONTRACTOR: Woolpert Inc.

The reflective surface data represents the DEM created by the laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface, to be reflected by a subsequent surface as represented by the last return data. Intensity information is captured from the reflective surface pulse and indicates the relative energy returned to the sensor, as compared to the energy transmitted. The intensity image is not calibrated or normalized but indicates differences in energy absorption due to the the interaction of the surface materials with laser energy, at the wavelength transmitted by the sensor. The bare earth model is created by identifying the returns that fall on the ground surface and by interpolating a surface between these points. In this manner, buildings and vegetation are removed from the bare earth model. This data set does not include bridges and overpasses in the bare earth model as the delineation point for these structures is not reliably discernable in the LiDAR data.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None DEM
None digital elevation model
None erosion
None laser
None LiDAR
None Topography

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Michigan Clinton, Eaton and Ingham Counties
None U.S. Coastline

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: As Needed
Data Presentation Form: Model (digital)
Distribution Liability:

Translation of files to formats other than those described here is the sole responsibility of individuals downloading the data. Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: USGS; Woolpert, Inc.

Support Roles

Data Steward

CC ID: 913509
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 913508
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 913510
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 913511
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 913521
W° Bound: -85.10322794768
E° Bound: -84.11897982348
N° Bound: 43.13268688125
S° Bound: 42.40315017724

Extent Group 1 / Time Frame 1

CC ID: 913513
Time Frame Type: Discrete
Start: 2010-04-02

Extent Group 1 / Time Frame 2

CC ID: 913514
Time Frame Type: Discrete
Start: 2010-04-03

Extent Group 1 / Time Frame 3

CC ID: 913515
Time Frame Type: Discrete
Start: 2010-04-04

Extent Group 1 / Time Frame 4

CC ID: 913516
Time Frame Type: Discrete
Start: 2010-04-05

Extent Group 1 / Time Frame 5

CC ID: 913517
Time Frame Type: Discrete
Start: 2010-04-10

Extent Group 1 / Time Frame 6

CC ID: 913518
Time Frame Type: Discrete
Start: 2010-04-12

Extent Group 1 / Time Frame 7

CC ID: 913519
Time Frame Type: Discrete
Start: 2010-04-13

Extent Group 1 / Time Frame 8

CC ID: 913520
Time Frame Type: Discrete
Start: 2010-04-14

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 913522
Start Date: 2020-06-30
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9132/details/9132
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 913523
Start Date: 2020-06-30
End Date: Present
Download URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ARRA-MI_TriCounty_2010/ept.json
Distributor:
File Name: EPT files
Description:

Data access to the original EPT format dataset. LAZ files underlay the EPT organization.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 913505
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850

Data Quality

Horizontal Positional Accuracy:

Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.9600 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. Quantitative value: 3.8, Test that produced the valued: LiDAR system calibration is available in the project report.

Vertical Positional Accuracy:

The LiDAR data vertical accuracy RMSE is 0.28 ft.

The data collected under this Task Order meets the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards. The NSSDA standards specify that vertical accuracy be reported at the 95 percent confidence level for data tested by an independent source of higher accuracy. (http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html).

The Fundamental Vertical Accuracy (FVA) of the TIN: 8.65 cm (0.28 ft) at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 18.5 cm in the "open terrain" land cover category. This data set tested to 0.28 ft.

The Consolidated Vertical Accuracy (CVA): 31.5 cm (1.03 ft) at a 95% confidence level, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in all land cover categories combined. This data set tested to 0.53 ft. for all categoires.

Quantitative value: 0.28, Test that produced the value: Tested 0.28 feet vertical accuracy at 95 percent confidence level.

Completeness Report:

The LIDAR data is visually inspected for completeness to ensure that are no gaps between flight lines.

Conceptual Consistency:

All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

LiDAR Data Collection

CC ID: 913498
Contact Role Type: Originator
Contact Type: Organization
Contact Name: USGS
Publish Date: 2009-08-31
Source Contribution:

The LiDAR data collected for this task order.

Lidar from USGS

CC ID: 913543
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Source Contribution:

Lidar data published on the Amazon AWS cloud.

Lidar in EPT format

CC ID: 913544
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS and Hobu, Inc
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ARRA-MI_TriCounty_2010/ept.json
Citation URL Name: Entwine Point Tiles of lidar data
Citation URL Description:

Endpoint for data access using Entwine Point Tiles.

Source Contribution:

Data are pulled from this site for processing.

Process Steps

Process Step 1

CC ID: 913499
Description:

Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, 68 flight lines of high density data, one and one half point per square meter, were collected over Clinton, Eaton and Ingham Counties (approximately 1,810 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of eight missions were flown over a 12 day period: April 02, 2010 through April 14, 2010. A minimum of two airborne global positioning system (GPS) base stations were used in support of the LiDAR data acquisition. The mean baseline length was 28 miles, with a maximum baseline length of 52 miles. In addition, 31 ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid03. All data for the task order is referenced to Michigan State Plane South Zone (2113), NAD83/2007, NAVD88, in international feet. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns. Two layers of coverage were delivered in the ArcINFO ArcGrid binary format: bare-earth and intensity. System Parameters: - Type of Scanner = LH Systems ALS50 - Data Acquisition Height = 7,800-feet AGL - Scanner Field of View = 40 degrees - Scan Frequency = 35.3 Hertz - Pulse Repetition Rate - 99.0 Kilohertz - Aircraft Speed = 130 Knots - Swath Width = 5,200-feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = 4,200-feet

Process Date/Time: 2010-04-14 00:00:00

Process Step 2

CC ID: 913500
Description:

The ALS50 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles.

Process Date/Time: 2010-09-17 00:00:00

Process Step 3

CC ID: 913501
Description:

Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project.

Process Date/Time: 2010-09-17 00:00:00

Process Step 4

CC ID: 913502
Description:

The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), Noise (Class 7), Water (Class 9) Ignored ground (Class 10) and unclassified data (Class 1). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset.

Process Date/Time: 2010-09-17 00:00:00

Process Step 5

CC ID: 913545
Description:

Data were processed by Hobu, Inc to convert to Entwine Point Tiles and web mercator projection. Data were not tagged with vertical georeferencing.

Process Date/Time: 2019-01-01 00:00:00
Source: Lidar from USGS

Catalog Details

Catalog Item ID: 60152
GUID: gov.noaa.nmfs.inport:60152
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2020-06-30 11:00+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2020-06-30
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-06-30
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-06-30